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Card class: Non-HeroCategory: Geography

At a glance

Orders by Country maps where your Depop buyers are, by order volume, across markets. Depop is strongest in a handful of countries but ships globally, so the geographic spread tells you which markets to optimise shipping and listing language for, and which emerging markets are quietly growing. It is the volume counterpart to AOV by country.
What it countsOrder count by buyer country for the selected period, shown as a map.
Sample typeBackend API data from Depop, refreshed on the standard data refresh.
Why it mattersWhere orders come from drives shipping setup, dispatch timing and which markets justify tailored pricing or listing language. A shift in the map can flag a new growth market or a service issue cooling an established one.
Reading the valueRead concentration and change. A dominant home market is normal; watch for rising secondary markets worth supporting and falling ones worth investigating.
Currencycount
Time window30D
Alert trigger-
Sentiment keydep_orders_by_country
Rolesowner, marketing

Calculation

The card groups orders by buyer country and counts them over the window, rendered as a choropleth map. Vortex IQ reads order records and buyer location from the Depop integration.

Worked example

A representative reading of Orders by Country for a typical UK reseller on Depop. Over 30 days the UK accounted for about 78 percent of orders, the US for 14 percent, and the rest spread across Ireland, Australia and a long tail. Vortex Mind flagged that US order share had climbed from 9 percent the prior quarter. Reading it next to AOV by country, where US orders ran higher value, the seller decided to formalise a US shipping option rather than handle each case ad hoc. To track the shift, ask Ask Viq for order share by country over the last two quarters.

Sibling cards merchants should reference together

CardWhy merchants reach for it
dep_aov_by_countryGeography sibling: order value by market, the value side.
dep_order_countVolume sibling: the total this map distributes.
dep_orders_per_dayVolume sibling: order pace over time.
dep_on_time_ship_rateFulfilment sibling: distant markets stress dispatch timing.
dep_revenue_trendTrend sibling: how market mix moves revenue.

Reconciling against Depop

Where to look in Depop’s own dashboard: Depop does not provide a dedicated country map. Reconcile by sampling recent orders in the app and confirming buyer countries match the distribution Vortex IQ shows for the same window. Why the Vortex IQ value may legitimately differ:
ReasonDirectionWhat to do
Location source. Country may be derived from buyer profile or shipping address.MarginalConfirm which field is used.
Period boundary. Vortex IQ uses a 30-day rolling window.VariableMatch the period range.
Cancelled orders. These may be excluded from the count.Lower in Vortex IQConfirm order scope.
Cross-connector reconciliation: read the map with AOV by country to weigh volume against value per market. For divergence investigations, use Vortex Mind.

Known limitations / merchant FAQs

Q: How often does Orders by Country update? The card refreshes on the standard data refresh (typically every 30-60 minutes for live integrations). Q: A market I do not ship to shows orders. How? Buyers can be located in one country while shipping to another, or location may be derived from profile data. Check the location source if the map looks off. Q: Should I chase every emerging market? Not blindly. Pair rising volume with AOV by country and your shipping economics. A growing market only matters if the orders are profitable to fulfil. Q: Can I customise this card? There is no alert threshold by default, but the reporting period is configurable per profile.

Tracked live in Vortex IQ Nerve Centre

Orders by Country is one of hundreds of KPI pulses Vortex IQ tracks across Depop and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. Start for free or book a demo to see this metric running on your own data.